Pasteurella multocida septicaemia in two calves

Bd, Hill; Rb, Johnson

doi:10.1111/j.1751-0813.1992.tb07524.x

Cited by 4 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[5][6][7][8] The predominant pathogen cultured from calves with septicemia is Eschericia coli, but other gramnegative, gram-positive, and mixed bacterial infections have been documented. [9][10][11][12] Important risk factors for the development of septicemia in calves include decreased passive transfer of colostral immunoglobulins and exposure to invasive bacterial serotypes. 13 Neonatal diarrhea may also predispose calves to septicemia.…”

mentioning

confidence: 99%

Model to Predict Septicemia in Diarrheic Calves

Löfstedt

Dohoo

Duizer³

1999

Veterinary Internal Medicne

View full text Add to dashboard Cite

The difficulty in distinguishing between septicemic and nonsepticemic diarrheic calves prompted a study of variables to predict septicemia in diarrheic calves Ͻ28 days old that were presented to a referral institution. The prevalence of septicemia in the study population was 31%. Variables whose values were significantly different (P Ͻ .10) between septicemic and nonsepticemic diarrheic calves were selected using stepwise, forward, and backward logistic regression. Variables identified as potentially useful predictors were used in the final model-building process. Two final models were selected: 1 based on all possible types of predictors (laboratory model) and 1 based only on demographic data and physical examination results (clinical model). In the laboratory model, 5 variables retained significance: serum creatinine Ͼ 5.66 mg/dL (Ͼ500 mol/L) (odds ratio [OR] ϭ 8.63, P ϭ .021), toxic changes in neutrophils Ն 2ϩ (OR ϭ 2.88, P ϭ .026), failure of passive transfer (OR ϭ 2.72, P ϭ .023), presence of focal infection (OR ϭ 2.68, P ϭ .024), and poor suckle reflex (OR ϭ 4.10, P ϭ .019). Four variables retained significance in the clinical model: age Յ 5 days (OR ϭ 2.58, P ϭ .006), presence of focal infection (OR ϭ 2.45, P ϭ .006), recumbency (OR ϭ 2.98, P ϭ .011), and absence of a suckling reflex (OR ϭ 3.03, P ϭ .031). The Hosmer-Lemeshow goodness-of-fit chi-square statistics for the laboratory and clinical models had P-values of .72 and .37, respectively, indicating that the models fit the observed data reasonably well. The laboratory model outperformed the clinical model by a small margin at a predictabilty cutoff of 0.5, however, the predictive abilities of the 2 models were quite similar. The low sensitivities (39% and 40%) of both models at a predicted probability cutoff of 0.5 meant many septicemic calves were not being detected by the models. The specificity of both models at a predicted probability cutoff of 0.5 was Ͼ90%, indicating that Ͼ90% of nonsepticemic calves would be predicted to be nonsepticemic by the 2 models. The positive and negative predictive values of the models were 66-82%, which indicated the proportion of cases for which a predictive result would be correct in a population with a prevalence of septicemia of 31%.

show abstract

mentioning

confidence: 99%

Model to Predict Septicemia in Diarrheic Calves

Löfstedt

Dohoo

Duizer³

1999

Veterinary Internal Medicne

View full text Add to dashboard Cite

show abstract

mentioning

confidence: 99%

Model to Predict Septicemia in Diarrheic Calves

Löfstedt

Dohoo

Duizer³

1999

J Vet Int Med

View full text Add to dashboard Cite

The difficulty in distinguishing between septicemic and nonsepticemic diarrheic calves prompted a study of variables to predict septicemia in diarrheic calves <28 days old that were presented to a referral institution. The prevalence of septicemia in the study population was 31%. Variables whose values were significantly different (P < .10) between septicemic and nonsepticemic diarrheic calves were selected using stepwise, forward, and backward logistic regression. Variables identified as potentially useful predictors were used in the final model-building process. Two final models were selected: 1 based on all possible types of predictors (laboratory model) and 1 based only on demographic data and physical examination results (clinical model). In the laboratory model, 5 variables retained significance: serum creatinine > 5.66 mg/dL (>500 micromol/L) (odds ratio [OR] = 8.63, P = .021), toxic changes in neutrophils > or = 2+ (OR = 2.88, P = .026), failure of passive transfer (OR = 2.72, P = .023), presence of focal infection (OR = 2.68. P = .024), and poor suckle reflex (OR = 4.10, P = .019). Four variables retained significance in the clinical model: age < 5 days (OR = 2.58, P = .006), presence of focal infection (OR = 2.45, P = .006), recumbency (OR = 2.98, P = .011), and absence of a suckling reflex (OR = 3.03, P = .031). The Hosmer-Lemeshow goodness-of-fit chi-square statistics for the laboratory and clinical models had P-values of .72 and .37, respectively, indicating that the models fit the observed data reasonably well. The laboratory model outperformed the clinical model by a small margin at a predictabilty cutoff of 0.5, however, the predictive abilities of the 2 models were quite similar. The low sensitivities (39% and 40%) of both models at a predicted probability cutoff of 0.5 meant many septicemic calves were not being detected by the models. The specificity of both models at a predicted probability cutoff of 0.5 was >90%, indicating that >90% of nonsepticemic calves would be predicted to be nonsepticemic by the 2 models. The positive and negative predictive values of the models were 66-82%, which indicated the proportion of cases for which a predictive result would be correct in a population with a prevalence of septicemia of 31%.

show abstract

“…Predisposing factors are age (especially 3 rd lactation), the conduct of livestock (excess of calcium and phosphorus, magnesium deficiency), the level of production (high production), peri-partum cows (colostrum seeks a strong mobilization of calcium. race, the state of overweight (the damage in liver limiting the transformation of vitamin D 3 (Audabie-Ladrix, 2005; Hill and Jonhson, 1992;Hunt, 1993;Lorenz, 2007), and season and recidivism (Hill and Jonhson, 1992) Grass tetany is characterized by the brutal drop in concentration in the cerebrospinal fluid magnesium and translates by convulsive nervous signs, sometimes sudden death. The dairy cows or lactating in grazing and high producing or in gestation are most susceptible because magnesium is exported for the fetus or milk (Brugeres-Picouxj, 2004; Dufrasne and Istasse, 1995; Eddy, 2004;Graaf, 1999;Hunt, 1993;Naciri et al, 1999;Parez, 1985).…”

Section: The Medical Emergencies Major In the Bovine Adultmentioning

confidence: 99%

“…Early embryonic mortality is often due to the IBR, BVD and later (> 180 days) to leptospirosis or neosporosis. In the best conditions for breeding, up to 15% of dairy cows suffer from infertility; 40% for infections genital and general, 25-30% for food errors and hygienic 20% for hereditary factors, 7-15% for accidents and sporadic factors (Hill and Jonhson, 1992).…”

Section: The Medical Emergencies Major In the Bovine Adultmentioning

confidence: 99%

See 1 more Smart Citation

The Emergencies in Bovine Medicine: Situation in the Region of the Centre of Algeria

Pacha¹,

Yamani

Ramdane

2016

BUASVMCN-VM

View full text Add to dashboard Cite

They can cause dehydration very often at the origin of the death of the animal in 6 to 12 hours (Rovary and Sattler, 2006). A quick intervention of the veterinarian is vital for the survival of the animal. The risk of diarrhea is highest during the first week after calving (4th-10th day) (Lorenz, 2007). The incidence of diarrhea in calves of less than 30 days varies from 15 to 20% and the risk of mortality is 1.5 to 8% (Koch and Kaske, 2008). The etiologic agents are numerous and differ depending on the age of the animal (Castro

show abstract

Pasteurella multocida septicaemia in two calves

Cited by 4 publications

References 4 publications

Model to Predict Septicemia in Diarrheic Calves

Model to Predict Septicemia in Diarrheic Calves

Model to Predict Septicemia in Diarrheic Calves

The Emergencies in Bovine Medicine: Situation in the Region of the Centre of Algeria

Contact Info

Product

Resources

About